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keras-transformer

Keras library for building (Universal) Transformers, facilitating BERT and GPT models

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

leetcode

LeetCode刷题记录

leetcode_ordinary_implementation

please win

leetcodetop

汇总各大互联网公司容易考察的高频leetcode题🔥

libffm

A Library for Field-aware Factorization Machines

libfm_in_keras

This notebook shows how to implement LibFM in Keras and how it was used in the Talking Data competition on Kaggle.

lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

lightgbm-gbdt-lr

a python code of applying GBDT+LR for CTR prediction

lihang

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

machine-learning-model-implementation

Machine Learning Model Implementation

machinelearning

Machine learning resources，including algorithm, paper, dataset, example and so on.

machinelearning-1

Implement Machine learning algorithm by myself using Python 3.6

matchzoo

MatchZoo is a toolkit for text matching. It was developed to facilitate the designing, comparing, and sharing of deep text matching models.

microsoft-malware-prediction

https://www.kaggle.com/c/microsoft-malware-prediction/leaderboard

ml

ml-assignment-20161124

ml-code

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

ml_implementation

normal ml algorithm implementation

mtgbmcode

mtgbmcode

nlp-interview-notes

本项目是作者们根据个人面试和经验总结出的自然语言处理(NLP)面试准备的学习笔记与资料，该资料目前包含 自然语言处理各领域的 面试题积累。

nlp-ml-dl-notes

自然语言处理、机器学习、深度学习笔记

nlp_ability

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括各种面试题，基础知识，工程能力等等，提升核心竞争力

nlp_paper_study

研读顶会论文，复现论文相关代码

nlp_paper_summaries

✍️ A carefully curated list of NLP paper summaries

notes

Personal Notes

outbrain-click-prediction-kaggle

Solution to the Outbrain Click Prediction competition

pattern_recognize

time-series-predictoin(LSTNet,SAB,Transformer...)

pseudo_label-pytorch

The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks